


'''simple docstring'''


# Lint as: python3
import itertools
import os
import re


UpperCAmelCase_						:  List[Any]				  =						re.compile(r'([A-Z]+)([A-Z][a-z])')
UpperCAmelCase_						:  Tuple				  =						re.compile(r'([a-z\d])([A-Z])')

UpperCAmelCase_						:  Dict				  =						re.compile(r'(?<!_)_(?!_)')
UpperCAmelCase_						:  Dict				  =						re.compile(r'(_{2,})')

UpperCAmelCase_						:  List[str]				  =						r'^\w+(\.\w+)*$'

UpperCAmelCase_						:  int				  =						r'<>:/\|?*'







def      snake_case_  (    SCREAMING_SNAKE_CASE__	):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE					:			Optional[Any]							= _uppercase_uppercase_re.sub(R"""\1_\2"""				, SCREAMING_SNAKE_CASE__	)
				_SCREAMING_SNAKE_CASE					:			List[Any]							= _lowercase_uppercase_re.sub(R"""\1_\2"""				, SCREAMING_SNAKE_CASE__	)
				return name.lower()







def      snake_case_  (    SCREAMING_SNAKE_CASE__	):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE					:			Any							= _single_underscore_re.split(SCREAMING_SNAKE_CASE__	)
				_SCREAMING_SNAKE_CASE					:			Dict							= [_multiple_underscores_re.split(SCREAMING_SNAKE_CASE__	) for n in name]
				return "".join(n.capitalize() for n in itertools.chain.from_iterable(SCREAMING_SNAKE_CASE__	) if n != """"""	)







def      snake_case_  (    SCREAMING_SNAKE_CASE__	):







				"""simple docstring"""





				if os.path.basename(SCREAMING_SNAKE_CASE__	) != name:
								raise ValueError(f"""Should be a dataset name, not a path: {name}"""	)
				return camelcase_to_snakecase(SCREAMING_SNAKE_CASE__	)







def      snake_case_  (    SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__	):







				"""simple docstring"""





				if os.path.basename(SCREAMING_SNAKE_CASE__	) != name:
								raise ValueError(f"""Should be a dataset name, not a path: {name}"""	)
				if not re.match(_split_re				, SCREAMING_SNAKE_CASE__	):
								raise ValueError(f"""Split name should match '{_split_re}'' but got '{split}'."""	)
				return f"""{filename_prefix_for_name(SCREAMING_SNAKE_CASE__	)}-{split}"""







def      snake_case_  (    SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__=None	):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE					:			Optional[Any]							= filename_prefix_for_split(SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__	)
				if filetype_suffix:
								prefix += f""".{filetype_suffix}"""
				_SCREAMING_SNAKE_CASE					:			Dict							= os.path.join(SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__	)
				return f"""{filepath}*"""







def      snake_case_  (    SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__=None				, SCREAMING_SNAKE_CASE__=None	):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= filename_prefix_for_split(SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__	)
				_SCREAMING_SNAKE_CASE					:			str							= os.path.join(SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__	)

				if shard_lengths:
								_SCREAMING_SNAKE_CASE					:			Optional[int]							= len(SCREAMING_SNAKE_CASE__	)
								_SCREAMING_SNAKE_CASE					:			Optional[int]							= [f"""{prefix}-{shard_id:05d}-of-{num_shards:05d}""" for shard_id in range(SCREAMING_SNAKE_CASE__	)]
								if filetype_suffix:
												_SCREAMING_SNAKE_CASE					:			List[Any]							= [filename + f""".{filetype_suffix}""" for filename in filenames]
								return filenames
				else:
								_SCREAMING_SNAKE_CASE					:			Tuple							= prefix
								if filetype_suffix:
												filename += f""".{filetype_suffix}"""
								return [filename]








'''simple docstring'''


from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_						:  str				  =						logging.get_logger(__name__)

UpperCAmelCase_						:  Optional[int]				  =						{
    'SCUT-DLVCLab/lilt-roberta-en-base': (
        'https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json'
    ),
}





class        lowercase__    (		_snake_case   ):





							'''simple docstring'''


							A_				: List[str]       =    """lilt"""






							def __init__(       self       ,   __snake_case=3_0522       ,   __snake_case=768       ,   __snake_case=12       ,   __snake_case=12       ,   __snake_case=3072       ,   __snake_case="gelu"       ,   __snake_case=0.1       ,   __snake_case=0.1       ,   __snake_case=512       ,   __snake_case=2       ,   __snake_case=0.02       ,   __snake_case=1e-12       ,   __snake_case=0       ,   __snake_case="absolute"       ,   __snake_case=None       ,   __snake_case=4       ,   __snake_case=1024       ,   **__snake_case       ,   ):
											super().__init__(pad_token_id=__snake_case       ,   **__snake_case    )

											_SCREAMING_SNAKE_CASE					:			str							= vocab_size
											_SCREAMING_SNAKE_CASE					:			Optional[Any]							= hidden_size
											_SCREAMING_SNAKE_CASE					:			Optional[Any]							= num_hidden_layers
											_SCREAMING_SNAKE_CASE					:			Optional[int]							= num_attention_heads
											_SCREAMING_SNAKE_CASE					:			Optional[Any]							= hidden_act
											_SCREAMING_SNAKE_CASE					:			Dict							= intermediate_size
											_SCREAMING_SNAKE_CASE					:			Tuple							= hidden_dropout_prob
											_SCREAMING_SNAKE_CASE					:			List[str]							= attention_probs_dropout_prob
											_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= max_position_embeddings
											_SCREAMING_SNAKE_CASE					:			Dict							= type_vocab_size
											_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= initializer_range
											_SCREAMING_SNAKE_CASE					:			Tuple							= layer_norm_eps
											_SCREAMING_SNAKE_CASE					:			str							= position_embedding_type
											_SCREAMING_SNAKE_CASE					:			List[str]							= classifier_dropout
											_SCREAMING_SNAKE_CASE					:			int							= channel_shrink_ratio
											_SCREAMING_SNAKE_CASE					:			str							= max_ad_position_embeddings




